Results 171 to 180 of about 19,993,772 (359)

Deep learning inter-atomic potential model for accurate irradiation damage simulations [PDF]

, 2019
Hao Wang, Xun Guo, Linfeng Zhang, Handong Wang, Jianming Xue   +4 more
openalex   +1 more source

Development of a Personalized Visualization and Analysis Tool to Improve Clinical Care in Complex Multisystem Diseases With Application to Scleroderma

Arthritis Care &Research, EarlyView.
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 more
wiley   +1 more source

Learning from video modeling examples: Content kept equal, adults are more effective models than peers

, 2016
Vincent Hoogerheide, Margot van Wermeskerken, Sofie M. M. Loyens, Tamara van Gog   +3 more
openalex   +2 more sources

Hierarchical multi-agent reinforcement learning for repair crews dispatch control towards multi-energy microgrid resilience

, 2023
Dawei Qiu, Yi Wang, Tingqi Zhang, Mingyang Sun, Goran Štrbac   +4 more
openalex   +1 more source

Medicare Fraud Detection Using Graph Analysis: A Comparative Study of Machine Learning and Graph Neural Networks [PDF]

, 2023
Yeeun Yoo, Jin-Ho Shin, S.-H. Kyeong
openalex   +1 more source

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Can Infants Perceive and Learn New Information from Extended Reality? [PDF]

Dev Sci
Liu L, Condie B, Sutton J, Saba S, Blackwell A, Humaira F, Shoaib R, Arness D, Trescak T.   +8 more
europepmc   +1 more source

Review of bankruptcy prediction using machine learning and deep learning techniques

, 2019
Yi Qu, Pei Quan, Minglong Lei, Yong Shi
openalex   +1 more source

Hip Morphology–Based Osteoarthritis Risk Prediction Models: Development and External Validation Using Individual Participant Data From the World COACH Consortium

Arthritis Care &Research, EarlyView.
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg, Fleur Boel, Michiel M. A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M. A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B. J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Teaching & Learning Workshops at the Center for Teaching & Learning at Thomas Jefferson University AY15-16 [PDF]

, 2015
Center for Teaching and Learning,
core   +1 more source